← Authors

Nuno Vasconcelos

93 papers · 2007–2025 · 8 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (7) 🌍 Conference Polyglot (8) πŸ—ΊοΈ Taxonomy Completionist (18) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (18) 🏠 Conference Loyalist (45) 🌟 Keyword Trendsetter Combo (7) 🀝 Dynamic Duo (10) 🧬 Topic Evolution πŸ† Keyword Champion (5) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (19) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (16) πŸš€ Conference Pioneer ⚑ Prolific Year (5) ❓ The Questioner (3) πŸ’Ž Century Club (93) πŸ—ƒοΈ Keyword Collector (67)

Conferences

CVPR (45) ICCV (16) NIPS (14) ECCV (9) ICML (3) JMLR (3) ICLR (2) WACV (1)

Top co-authors

Pei Wang (10) Yunsheng Li (9) Chih-Hui Ho (8) Tz-Ying Wu (8) Yi Li (8) Bo Liu (8) Jiteng Mu (6) Pedro Morgado (6) Zhaowei Cai (6) Jiacheng Cheng (5)

Keywords

transfer learning (9) convolutional neural network (8) boosting algorithm (8) object detection (7) image classification (7) loss function (5) action recognition (5) self-supervised learning (5) semi-supervised learning (4) multiclass classification (4) multi-task learning (4) feature learning (4) model compression (4) representation learning (4) image generation (4) feature extraction (3) domain adaptation (3) knowledge distillation (3) data augmentation (3) gradient descent (3)

Papers

Ego-VPA: Egocentric Video Understanding with Parameter-Efficient Adaptation WACV 2025
EditAR: Unified Conditional Generation with Autoregressive Models CVPR 2025
EgoPrivacy: What Your First-Person Camera Says About You? ICML 2025
Core Knowledge Deficits in Multi-Modal Language Models ICML 2025
HQGS: High-Quality Novel View Synthesis with Gaussian Splatting in Degraded Scenes ICLR 2025
Guiding Diffusion Models with Adaptive Negative Sampling Without External Resources ICCV 2025
IntroStyle: Training-Free Introspective Style Attribution using Diffusion Features ICCV 2025
ProTeCt: Prompt Tuning for Taxonomic Open Set Classification CVPR 2024
Improving image synthesis with diffusion-negative sampling ECCV 2024
Adapting Diffusion Models for Improved Prompt Compliance and Controllable Image Synthesis NIPS 2024
Editable Image Elements for Controllable Synthesis ECCV 2024
Long-Tailed Anomaly Detection with Learnable Class Names CVPR 2024
Towards Calibrated Multi-label Deep Neural Networks CVPR 2024
Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks ECCV 2024
ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs ICCV 2023
SViTT: Temporal Learning of Sparse Video-Text Transformers CVPR 2023
Dense Network Expansion for Class Incremental Learning CVPR 2023
Toward Unsupervised Realistic Visual Question Answering ICCV 2023
Towards Professional Level Crowd Annotation of Expert Domain Data CVPR 2023
Class-Incremental Learning With Strong Pre-Trained Models CVPR 2022
Single-Stage Visual Relationship Learning using Conditional Queries NIPS 2022
DISCO: Adversarial Defense with Local Implicit Functions NIPS 2022
CoordGAN: Self-Supervised Dense Correspondences Emerge From GANs CVPR 2022
Improving Video Model Transfer With Dynamic Representation Learning CVPR 2022
Omni-DETR: Omni-Supervised Object Detection With Transformers CVPR 2022
VALHALLA: Visual Hallucination for Machine Translation CVPR 2022
Calibrating Deep Neural Networks by Pairwise Constraints CVPR 2022
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-Tailed Recognition ECCV 2022
Should All Proposals Be Treated Equally in Object Detection? ECCV 2022
Dynamic Transfer for Multi-Source Domain Adaptation CVPR 2021
Gradient-Based Algorithms for Machine Teaching CVPR 2021
IMAGINE: Image Synthesis by Image-Guided Model Inversion CVPR 2021
A Machine Teaching Framework for Scalable Recognition ICCV 2021
Learning of Visual Relations: The Devil Is in the Tails ICCV 2021
A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation ICCV 2021
BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning ICCV 2021
Revisiting Dynamic Convolution via Matrix Decomposition ICLR 2021
GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021
MicroNet: Improving Image Recognition With Extremely Low FLOPs ICCV 2021
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection CVPR 2021
Audio-Visual Instance Discrimination with Cross-Modal Agreement CVPR 2021
Rethinking and Improving the Robustness of Image Style Transfer CVPR 2021
Robust Audio-Visual Instance Discrimination CVPR 2021
SCOUT: Self-Aware Discriminant Counterfactual Explanations CVPR 2020
Rethinking Differentiable Search for Mixed-Precision Neural Networks CVPR 2020
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition CVPR 2020
Explainable Object-Induced Action Decision for Autonomous Vehicles CVPR 2020
Few-Shot Open-Set Recognition Using Meta-Learning CVPR 2020
Background Data Resampling for Outlier-Aware Classification CVPR 2020
Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier ECCV 2020
SPOT: Selective Point Cloud Voting for Better Proposal in Point Cloud Object Detection ECCV 2020
REPAIR: Removing Representation Bias by Dataset Resampling CVPR 2019
NetTailor: Tuning the Architecture, Not Just the Weights CVPR 2019
PIEs: Pose Invariant Embeddings CVPR 2019
Towards Universal Object Detection by Domain Attention CVPR 2019
Efficient Multi-Domain Learning by Covariance Normalization CVPR 2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation CVPR 2019
Multiclass Boosting: Margins, Codewords, Losses, and Algorithms JMLR 2019
Catastrophic Child's Play: Easy to Perform, Hard to Defend Adversarial Attacks CVPR 2019
RESOUND: Towards Action Recognition without Representation Bias ECCV 2018
Towards Realistic Predictors ECCV 2018
Cascade R-CNN: Delving Into High Quality Object Detection CVPR 2018
Feature Space Transfer for Data Augmentation CVPR 2018
Deep Learning With Low Precision by Half-Wave Gaussian Quantization CVPR 2017
Deep Scene Image Classification With the MFAFVNet ICCV 2017
Semantically Consistent Regularization for Zero-Shot Recognition CVPR 2017
AGA: Attribute-Guided Augmentation CVPR 2017
Object based Scene Representations using Fisher Scores of Local Subspace Projections NIPS 2016
VLAD3: Encoding Dynamics of Deep Features for Action Recognition CVPR 2016
Scene Classification With Semantic Fisher Vectors CVPR 2015
How Many Bits Does it Take for a Stimulus to Be Salient? CVPR 2015
Multiple Instance Learning for Soft Bags via Top Instances CVPR 2015
A View of Margin Losses as Regularizers of Probability Estimates JMLR 2015
Generic Promotion of Diffusion-Based Salient Object Detection ICCV 2015
Learning Complexity-Aware Cascades for Deep Pedestrian Detection ICCV 2015
Bayesian Model Adaptation for Crowd Counts ICCV 2015
Learning Receptive Fields for Pooling from Tensors of Feature Response CVPR 2014
Multi-Resolution Cascades for Multiclass Object Detection NIPS 2014
Boosting Algorithms for Detector Cascade Learning JMLR 2014
Guess-Averse Loss Functions For Cost-Sensitive Multiclass Boosting ICML 2014
Learning Optimal Seeds for Diffusion-based Salient Object Detection CVPR 2014
Class-Specific Simplex-Latent Dirichlet Allocation for Image Classification ICCV 2013
Dynamic Pooling for Complex Event Recognition ICCV 2013
Recognizing Activities via Bag of Words for Attribute Dynamics CVPR 2013
On the connections between saliency and tracking NIPS 2012
Recognizing Activities by Attribute Dynamics NIPS 2012
Multiclass Boosting: Theory and Algorithms NIPS 2011
Maximum Covariance Unfolding : Manifold Learning for Bimodal Data NIPS 2011
A biologically plausible network for the computation of orientation dominance NIPS 2010
Variable margin losses for classifier design NIPS 2010
Boosting Classifier Cascades NIPS 2010
On the Design of Loss Functions for Classification: theory, robustness to outliers, and SavageBoost NIPS 2008
The discriminant center-surround hypothesis for bottom-up saliency NIPS 2007